Ecommerce SEO built for how shoppers discover products in 2026.
Search has changed. Shoppers now ask ChatGPT which running shoes to buy, get product recommendations from Perplexity, and discover brands through Google AI Overviews before they ever visit your site. We build ecommerce SEO strategies that capture demand across every surface — traditional search and AI-driven product discovery.
Ecommerce search is technically and competitively unlike any other category
Ecommerce SEO operates at a scale and complexity that most agencies aren't equipped for. Thousands of product pages, faceted navigation generating duplicate content, seasonal inventory changes, and now AI-driven product discovery reshaping how shoppers find what they want to buy.
The catalog scale problem
An ecommerce site with 50,000 product pages has 50,000 technical SEO decisions to make — and most of them happen automatically through your platform. Faceted navigation, parameter URLs, duplicate product variants, and crawl budget waste are silent revenue killers that compound at scale. Most agencies fix them page by page. We fix them at the system level.
The seasonal volatility problem
Ecommerce traffic is inherently seasonal. An SEO strategy that doesn't account for demand cycles, inventory availability, and promotional windows will either miss peak revenue moments or cause post-peak ranking drops. We build strategies that perform year-round and peak when it matters most.
The AI product discovery problem
ChatGPT, Perplexity, and Google AI Overviews are now recommending specific products for purchase intent queries. "Best waterproof hiking boots under £150" doesn't just return a SERP anymore — it returns an AI-generated answer with product recommendations. If your products aren't structured for AI citation, you're invisible at the highest-intent moments.
The platform constraint problem
Shopify, Magento, WooCommerce, and enterprise platforms like Salesforce Commerce Cloud each have distinct SEO constraints and opportunities. A strategy built for one doesn't work on another. We've worked across all major ecommerce platforms and know exactly where the technical leverage is on each.
AI is becoming the first touchpoint in the ecommerce buying journey
Product discovery used to start with a Google search. Increasingly it starts with a question to an AI model. Shoppers ask ChatGPT for product recommendations, use Perplexity to compare options, and encounter Google AI Overviews before they see a single organic result. Ecommerce brands that aren't optimised for this new discovery layer are losing customers before the journey begins.
Product schema for AI citation
Structured data is the bridge between your product catalog and AI model citation. Product schema that includes pricing, availability, reviews, and specifications gives AI models the machine-readable signals they need to recommend your products confidently. We implement and validate schema at catalog scale — not page by page.
Category and comparison content
AI models answer category-level queries with editorial recommendations — "best noise-cancelling headphones for office use" type searches. If your category pages and buying guide content aren't structured for AI retrieval, competitors with weaker products but better-structured content win those recommendations.
Review and authority signals
AI models cross-reference review platforms, editorial sources, and third-party citations before recommending products. Your presence on Trustpilot, specialist review sites, and editorial coverage directly influences your AI citation share — not just your star rating in SERPs.
AI-driven product discovery tracking
Most ecommerce brands have no visibility into how often their products appear in AI-generated answers. We track AI citation share by product category, monitor sentiment in AI responses, and report on the AI-referred sessions that are already landing on your site.
Full-stack ecommerce SEO at catalog scale
From technical foundations to AI product discovery — every service is built around the specific demands of ecommerce search in 2026.
Technical Ecommerce SEO Audit
Comprehensive audit covering crawl budget analysis, faceted navigation handling, duplicate content from product variants, canonical chain issues, URL parameter management, and AI bot accessibility across your entire catalog.
Category & Keyword Strategy
In-depth keyword mapping across your product taxonomy — from high-volume category terms to long-tail product queries and AI-driven discovery keywords. We identify the opportunities your competitors are missing and prioritise by revenue impact.
Core Web Vitals & Performance
Page speed directly impacts ecommerce conversion rates and Google rankings. We audit and fix LCP, CLS, and FID across your product and category pages — with specific attention to image optimisation, JavaScript loading, and third-party script management at catalog scale.
Product Schema & Structured Data
Implementation and ongoing validation of Product, Review, Offer, and BreadcrumbList schema across your catalog at scale. Structured data that enables rich results in Google Shopping and product citations in AI-generated answers.
Ecommerce Content Strategy
Buying guides, comparison content, product editorial, and category page copy engineered for both Google ranking and AI model citation. Content that serves shoppers at every stage of the discovery journey.
Ecommerce GEO Strategy
A dedicated generative search strategy for your product categories — tracking AI citation share, identifying which competitors are being recommended, and building the content and entity architecture that gets your products cited in AI-generated purchasing advice.
We've worked across every major ecommerce platform
Every ecommerce platform has distinct SEO constraints and opportunities. We know where the technical leverage is on each.
Shopify & Shopify Plus
Canonical tag management for product variants, collection page optimisation, app-related performance issues, and structured data implementation across large Shopify catalogs.
Magento & Adobe Commerce
Crawl budget management at scale, layered navigation handling, URL rewrite conflicts, and performance optimisation for complex Magento architectures.
WooCommerce, Salesforce & others
We've worked across WooCommerce, Salesforce Commerce Cloud, BigCommerce, and bespoke ecommerce builds. If your platform has an SEO challenge, we've likely solved it before.
Ecommerce SEO FAQs
What is ecommerce SEO?
Ecommerce SEO is the practice of optimising an online store to rank in search engines and appear in AI-generated product recommendations. In 2026, this goes beyond Google rankings to include structured data for AI citation, category content that surfaces in ChatGPT and Perplexity recommendations, and technical foundations that support large product catalogs at scale.
Why is ecommerce SEO more technically complex than other SEO?
Ecommerce sites generate unique technical SEO challenges at scale — faceted navigation creating duplicate content, crawl budget waste across thousands of product pages, URL parameter conflicts, product variant canonicalisation, and seasonal inventory changes. These issues compound at scale and require system-level fixes, not page-by-page solutions.
How does AI search affect ecommerce product discovery?
AI platforms like ChatGPT, Perplexity, and Google AI Overviews are increasingly answering product recommendation queries directly. "Best running shoes for flat feet" now generates AI-recommended products before a single organic result. Ecommerce brands with strong product schema, structured data, and editorial content are being cited. Those without are invisible at the highest-intent moments.
What is product schema and why does it matter?
Product schema is structured data markup that tells search engines and AI models the specific details of your products — pricing, availability, reviews, specifications. It enables rich results in Google Shopping and increases your chances of being cited in AI-generated product recommendations. We implement and validate schema across entire catalogs, not just featured products.
How do you measure ecommerce SEO success?
We report on organic revenue contribution and revenue per session from organic traffic, not just rankings or traffic volume. Additional metrics include AI citation share by product category, Core Web Vitals scores, crawl coverage across the catalog, and conversion rate from organic sessions. Everything ties back to revenue impact.
Which ecommerce platforms do you work with?
We've worked across Shopify, Shopify Plus, Magento, Adobe Commerce, WooCommerce, Salesforce Commerce Cloud, BigCommerce, and various bespoke ecommerce builds. Each platform has distinct SEO constraints — we know where the technical leverage is on all of them.
Organic search should be your highest-ROI acquisition channel. Let's make it one.
We'll start with a free consultation covering your current organic revenue contribution, the technical issues holding your catalog back, and how your products are currently performing in AI-generated recommendations.